目的:探讨腹腔镜胃癌D2根治术患者经协同护理及患者自评-主观全面评定(patient-generated subjective global assessment,PG-SGA)个体化营养干预的效果.方法:选择蚌埠医科大学第一附属医院2020年8月—2021年11月收治的107例腹腔镜胃癌D2根治术患者,随机分为参照组(n=54,行常规护理)和试验组(n=53,行协同护理+基于PG-SGA个体化营养干预).对比两组患者的心理状态及生活质量.结果:试验组干预后汉密尔顿焦虑量表(Hamilton anxiety scale,HAMA)、汉密尔顿抑郁量表(Hamilton depression scale,HAMD)评分均较参照组低,健康调查简表(the MOS item short form health survey,SF-36)各维度评分均较参照组高,差异均有统计学意义(P<0.05).结论:协同护理联合基于PG-SGA个体化营养干预应用于腹腔镜胃癌D2根治术患者,能够有效改善患者的心理状态,提升其生活质量.
Application Value of Collaborative Nursing Combined with Individualized Nutrition Intervention Based on PG-SGA in Patients Undergoing Laparoscopic D2 Radical Gastrectomy
Objective:To explore the effect of collaborative nursing combined with individualized nutrition intervention based on patient-generated subjective global assessment (PG-SGA) for patients underwent laparoscopic D2 radical gastrectomy.Method:A total of 107 patients underwent laparoscopic D2 radical gastrectomy admitted to the First Affiliated Hospital of Bengbu Medical University from August 2020 to November 2021 were randomly divided into the reference group (n=54,received routine nursing ) and the experimental group (n=53,received collaborative nursing+individualized nutrition intervention based on PG-SGA ).The mental state and quality of life of the two groups were compared.Result:After intervention,the scores of Hamilton anxiety scale (HAMA) and Hamilton depression scale (HAMD) in experimental group were lower than those in control group,the scores of each dimension of the MOS item short form health survey (SF-36) were higher than those in reference group,the differences were statistically significant (P<0.05).Conclusion:The application of collaborative nursing combined with individualized nutrition intervention based on PG-SGA in patients undergoing laparoscopic D2 radical gastrectomy can effectively improve patients' mental state and improve their quality of life.
Collaborative nursingIndividualized nutrition intervention based on PG-SGALaparoscopic D2 radical gastrectomyMental stateQuality of life
万方数据
维普
